GitHub Copilot Fundamentals Training is a hands-on two-day program designed to help developers and technology professionals effectively use GitHub Copilot to accelerate software development. This course focuses on understanding how Copilot works, writing better prompts and comments, generating code responsibly, improving productivity across development workflows, and applying best practices to use AI-assisted coding safely and efficiently in real-world projects.

• Understand GitHub Copilot fundamentals
• Learn AI-assisted coding concepts
• Understand code suggestion workflows
• Gain knowledge of prompt-based coding assistance
• Learn productivity optimization techniques
• Understand Copilot integration basics
• Explore AI-driven development workflows
• Identify software development use cases

• Software developers and programmers
• Full-stack, backend, and frontend engineers
• DevOps and automation engineers
• Computer science students and early-career developers
• Technical leads exploring AI-assisted development

• Basic understanding of programming concepts
• Familiarity with at least one programming language
• Experience using code editors such as VS Code
• Awareness of version control concepts is beneficial

• Understanding GitHub Copilot capabilities and limitations
• Using Copilot for code generation and completion
• Writing effective prompts and comments for better suggestions
• Applying Copilot across testing, debugging, and refactoring
• Using AI-assisted coding responsibly and securely

By the end of this training, participants will be able to confidently use GitHub Copilot to enhance development productivity, generate and review code effectively, apply Copilot across common development tasks, and follow best practices for secure, ethical, and responsible AI-assisted coding.

Introduction to GitHub Copilot and AI-Assisted Coding
• Overview of GitHub Copilot and supported environments
• How Copilot works and its underlying concepts
• Benefits and limitations of AI-assisted coding
• Responsible use of AI in software development

Setting Up GitHub Copilot
• Installation and configuration in IDEs
• Understanding Copilot suggestions and modes
• Managing settings and preferences
• Copilot workflow best practices

Code Generation and Productivity Boost
• Writing code using natural language comments
• Generating functions, classes, and boilerplate code
• Improving coding speed and reducing repetition
• Understanding and reviewing AI-generated code

Using Copilot for Testing, Debugging, and Refactoring
• Generating unit tests and test cases
• Debugging code with Copilot assistance
• Refactoring and improving code quality
• Using Copilot for documentation and comments

Security, Quality, and Best Practices
• Avoiding insecure or incorrect code suggestions
• Code review and validation techniques
• Licensing, compliance, and ethical considerations
• When not to rely on AI-generated code

Real-World Use Cases and Developer Workflows
• Using Copilot in frontend, backend, and API development
• Supporting DevOps and automation scripts
• Collaboration and team productivity improvements
• Measuring impact and adoption success

• GitHub Copilot concepts
• AI-assisted coding workflows
• Prompt engineering for coding
• Code generation basics
• Debugging and code optimization
• IDE integration concepts
• AI-driven software development
• Security and code review basics
• Best practices for Copilot usage
• Practical coding scenarios

• Hands-on coding exercises using GitHub Copilot
• Code generation and refactoring assessment
• Testing and debugging activity
• Final knowledge evaluation quiz

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in GitHub Copilot Fundamentals Training, validating their expertise in using GitHub Copilot for AI-assisted coding, productivity improvement, and responsible software development.